{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "ransom", "trigger": true, "arguments": ["attacker", "time", "place", "damage amount", "victim", "tool", "price"]}, {"event_type": "phishing", "trigger": true, "arguments": ["trusted entity", "attacker", "tool", "time", "damage amount", "place", "victim"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "vulnerability", "vulnerable system", "supported platform", "time", "patch number", "issues addressed", "releaser"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["supported platform", "discoverer", "time", "vulnerability", "capabilities", "vulnerable system", "vulnerable system owner"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of victim", "tool", "compromised data", "victim", "place", "attacker", "time", "attack pattern", "purpose"]}], "input": "The health system said in a news release that patient data was not compromised ."}
{"ransom": [], "phishing": [], "patch vulnerability": [], "discover vulnerability": [], "data breach": [{"trigger": "was not compromised", "arguments": {"number of victim": "NAN", "tool": "NAN", "compromised data": "patient data", "victim": "NAN", "place": "NAN", "attacker": "NAN", "time": "NAN", "attack pattern": "NAN", "purpose": "NAN"}}]}